Recognition for Spindle Speeds of Drill Press Based on Sound Signals Produced from Drilling

Abstract:

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Effects of running state and spindle speeds on the sound signals produced from a drill
press are investigated. And the obtained sound signals by using of a sound level meter are analyzed
in both time domain and frequency domain. It is evident that there is more high frequency energy
for drilling sound signals with load than without load. And spindle speeds still affect their energy
distribution of drilling sound signals. Using wavelet decomposition and wavelet packet
decomposition, drilling sound signals are decomposed into a number of frequency bands. And
energy percentages of the divided frequency bands are extracted to be the effective characteristics to
recognize spindle speeds. Meanwhile, training error of different BP networks is compared to obtain
the effective network for recognition spindle speeds. By using of the obtained network structure
named 16-30-5, the study rate for training samples and the recognize rate for testing samples are all
above 95%.